MOVES-Matrix 4.0 for High-Performance On-road Energy Use and Emission Rate Modeling Applications

This is the sample dataset of energy use and emission rates from the NCST project titled "MOVES-Matrix 4.0 for High-Performance On-road Energy Use and Emission Rate Modeling Applications."  The abstract of the project is as follows.

This study introduces MOVES-Matrix 4.0, an innovative high-performance implementation of MOVES 4.0.1 that generates exactly same energy and emission rate results as EPA’s latest version of MOVES 4.0.1, but allows users to deploy MOVES model in complex and dynamic analyses.  The team utilized the same conceptual design used in MOVES-Matrix 2014 and MOVES-Matrix 3.0, and updated the configurations on PACE supercomputing clusters to account for the programming changes with respect to MOVES databases (e.g., migration to MariaDB) and MOVES’ algorithm updates since MOVES2014b (e.g., extended VSP/STP parameters).  The team adapted MOVES4 for cross-platform use on PACE (RHEL 7.0) without requiring root access by manually configuring MOVES4 and its dependencies in a user-space, self-contained setup.  The MOVES-Matrix 4.0 system develops sub-matrices of energy and emission rates by executing 181,818 MOVES runs to generate more than 5.8 trillion energy and emission rates in the populated matrix for a single modeling region (represented by a unique combination of fuel specification regime and inspection and maintenance program).  A total of 120 modeling areas are needed in MOVES4 to represent every county in the United States.  Performance tests demonstrate that MOVES-Matrix 4.0 produces results that are exactly the same as MOVES4 (insignificant internal rounding errors that are less than 0.0005%).  In modeling applications, generating emission rates from MOVES-Matrix is 200 times faster than running a MOVES instance.  MOVES-Matrix 4.0 is ready to be used for large-scale, dynamic transportation network analyses and emissions modeling, given its open-source nature, and its compatibility with various scripting languages.